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January 23, 2026Journal of Vibration and Control0 citations

Novel CYCBD β Deconvolution for Enhanced Weak Bearing Fault Detection

A novel CYCBD β deconvolution for weak bearing fault detection enhanced by optimized successive jump mode decomposition

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Authors

NYNan YangYXY. XuYLYie Liu

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Overview

Demonstrates improved weak fault detection in rotating machinery using a new deconvolution method, indicating better safety and reliability.

Key Points

  • The aim is to develop a reliable method for detecting weak bearing faults under high noise conditions.
  • Introducing optimized successive jump mode decomposition (OSJMD)
  • Utilizing blind deconvolution based on generalized Gaussian cyclostationarity (CYCBD β )
  • Employing synergistic swarm optimization (SSO) to optimize mode compactness
  • Conducting simulation and experimental validation
  • Significant enhancement in detecting weak fault signals compared to conventional methods
  • Demonstrated robustness against both Gaussian and non-Gaussian noise
  • Improved separation of noise from raw signals and extraction of impulse-like features

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69731005c8125b09b0d1fb69https://doi.org/10.1177/10775463261417376
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